Ergebnisse für: Protecting IP
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This book studies in detail the robustness of machine learning (ML) algorithms involved in dealing with vulnerabilities where the errors or malfunctions are both intentional and malicious, therefore being associated with a specific attack model. Reliability is key to the wider adoption of machine le...
Content protection and digital rights management (DRM) are fields that receive a lot of attention: content owners require systems that protect and maximize their revenues; consumers want backwards compatibility, while they fear that content owners will spy on their viewing habits; and academics are ...
Content protection and digital rights management (DRM) are fields that receive a lot of attention: content owners require systems that protect and maximize their revenues; consumers want backwards compatibility, while they fear that content owners will spy on their viewing habits; and academics are ...
Content protection and digital rights management (DRM) are fields that receive a lot of attention: content owners require systems that protect and maximize their revenues; consumers want backwards compatibility, while they fear that content owners will spy on their viewing habits; and academics are ...
This brand new guide book is a comprehensive overview of establishing joint ventures in China. It details all applicable decision making processes such as assessing your potential partner, choosing the relevant JV structure, conducting legal and financial due diligence. The guide contains complete J...
This brand new guide book is a comprehensive overview of establishing joint ventures in China. It details all applicable decision making processes such as assessing your potential partner, choosing the relevant JV structure, conducting legal and financial due diligence. The guide contains complete J...
When managed well, IP can become the most enduring form of competitive advantage, creating streams of revenue well into the future. But for many in Europe, IP can still seem complicated to acquire, expensive to maintain and hard to enforce.
Drawing on a wide range of expert contributions, The Handb...
This book studies in detail the robustness of machine learning (ML) algorithms involved in dealing with vulnerabilities where the errors or malfunctions are both intentional and malicious, therefore being associated with a specific attack model. Reliability is key to the wider adoption of machine le...